Description
In this paper, we employ a practical perspective and examine the Green IT (GIT) practices across industries using a dictionary-based text mining method. Our research includes two phases: 1) building a GIT dictionary for text mining, and 2) examining GIT practices proliferation in non-IT industries. As the first attempt of using dictionary-based text mining method to study the Green IT practices, this paper has two main implications. First, through building the Green IT dictionary, we provide a broad view of current Green IT practices and present a tool that can be used to examine Green IT practices in future research. Second, while employing a practical perspective, this paper identifies some research gaps which could be addressed in future GIT research.
Recommended Citation
Deng, Qi; Ji, Shaobo; and Wang, Yun, "Green IT Practices across Industries: A Text-Mining based Analysis" (2017). AMCIS 2017 Proceedings. 1.
https://aisel.aisnet.org/amcis2017/GreenIS/Presentations/1
Green IT Practices across Industries: A Text-Mining based Analysis
In this paper, we employ a practical perspective and examine the Green IT (GIT) practices across industries using a dictionary-based text mining method. Our research includes two phases: 1) building a GIT dictionary for text mining, and 2) examining GIT practices proliferation in non-IT industries. As the first attempt of using dictionary-based text mining method to study the Green IT practices, this paper has two main implications. First, through building the Green IT dictionary, we provide a broad view of current Green IT practices and present a tool that can be used to examine Green IT practices in future research. Second, while employing a practical perspective, this paper identifies some research gaps which could be addressed in future GIT research.